MySQL development in Kolkata

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MySQL development

The relational database available on virtually every host in India — which is frequently the deciding factor.

Relational database

Chosen per project

Maintainable handover

MySQL’s practical advantage is availability. It runs on essentially every shared host, every managed platform and every cloud provider, and a very large share of PHP and WordPress applications already sit on it.

It handles read-heavy workloads extremely well. Where it is weaker than PostgreSQL is in stricter constraint enforcement and richer query features — which matters for complex reporting and less for a straightforward transactional application.

What we build with MySQL

Web applications on conventional or shared hosting

Read-heavy content and catalogue systems

Existing PHP, Laravel or WordPress applications

Systems where hosting availability drives the choice

Where it fits — and where it does not

Good fit when

Hosting availability and cost are decisive

Read-heavy workloads with straightforward queries

An existing MySQL estate the team already runs

A very large pool of developers who know it

Consider something else when

Complex analytical queries — PostgreSQL handles these better

Heavy use of semi-structured JSON data

Workloads requiring the strictest constraint enforcement

Query tuning

Making a slow MySQL query fast

The order is deliberate. Most work finishes by step three; adding hardware first hides the problem and raises the bill.

Find it

Slow query log and performance schema, not guesswork.

Read EXPLAIN

See which index the optimiser actually chose.

Index

Composite indexes in the right column order.

Rewrite

Restructure the query or the access pattern.

Cache

Application-level caching for genuinely hot reads.

Scale

Read replicas — last, once the rest is exhausted.

How we work with MySQL

Engine and collation

InnoDB with utf8mb4 throughout — the collation choice is painful to change once data exists.

Indexing from queries

Composite indexes designed from the queries that will actually run, then verified with EXPLAIN.

Migrations

Versioned and reversible, and rehearsed against production-sized data before release.

Backup and recovery

Automated backups with binary logs for point-in-time recovery, and restores actually tested.

Our typical MySQL setup

Typical MySQL stack choices and what we use for each
ConcernWhat we use
VersionMySQL 8.x, or MariaDB where the host provides it
EngineInnoDB with utf8mb4 character set throughout
IndexingComposite and covering indexes verified with EXPLAIN
MigrationsVersioned, reversible, rehearsed on realistic data
BackupAutomated dumps plus binary logs for point-in-time recovery
ScalingRead replicas and connection pooling

Frequently asked questions

MySQL where hosting availability and cost matter and the workload is read-heavy with straightforward queries. PostgreSQL for stricter data integrity, complex reporting or heavy JSON use. Both are excellent; the deciding factors are usually hosting and the existing estate.

Almost always, and rarely by adding hardware. The usual causes are missing or badly ordered composite indexes, queries selecting far more than needed, and reports running against live transactional tables.

Always utf8mb4. MySQL's older "utf8" is not full UTF-8 and cannot store emoji or some Indic characters correctly. Converting later, with data in place, is genuinely painful.

Topics people search for

Services built with MySQL

Tell us what you are trying to build

Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.

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